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TL;DR Running large language models in production can quickly become expensive and slow without proper optimization. Organizations often face monthly bills exceeding $250,000 and response times that frustrate users. This guide explores proven strategies to reduce LLM costs by 30-50% and latency by up to 10x through intelligent

TL;DR Load balancing in AI gateways distributes incoming LLM requests across multiple providers, models, or API keys to ensure high availability, optimal performance, and cost efficiency. This guide covers core load balancing strategies, how Bifrost implements intelligent load balancing with automatic failover, and best practices for production AI applications.

A complete guide to configuring Bifrost as a custom model provider for Moltbot, enabling multi-provider access, observability, and enterprise-grade reliability for your personal AI assistant. Introduction Moltbot (formerly known as Clawdbot) has recently emerged as one of the most significant open-source projects in the personal AI assistant space. Created by

Table of Contents * TL;DR * Quick Comparison Table * Overview > What is an LLM Gateway * Detailed Feature Matrix * Gateway Profiles * Gateways > Bifrost by Maxim AI * Gateways > Cloudflare AI Gateway * Gateways > LiteLLM * Gateways > Vercel AI Gateway * Gateways > Kong AI Gateway * Selection Guide > How to Choose

TL;DR Token tracking is essential for controlling costs, optimizing performance, and maintaining transparency in AI applications. Without visibility into token consumption, organizations face unpredictable bills, inefficient resource allocation, and difficulty attributing costs across teams. This guide covers the fundamentals of token tracking, common challenges in multi-provider environments, and practical

TL;DR LLM routing is the process of intelligently directing queries to the most appropriate model based on factors like complexity, cost, latency, and domain expertise. This guide covers the top 5 routing techniques that production teams use to optimize their AI infrastructure: 1. Semantic Routing - Uses embedding-based similarity